Authority matrix
Get trusted third parties to name you. Retrieval-heavy engines lean on those pages; your site is often secondary.
Why it works
Not generic site+posts: how we raise the odds AI mentions you
Yes, we build public pages and prepare posts — but the point is placing real facts where AI is more likely to trust them, then verifying pages still live and still name you. Success = a checkable pipeline, not “pay and must be mentioned”.
Plain-language guide to how Sourced works vs typical vendors. Mentions are probabilistic; the pipeline is deterministic — no guaranteed mention rates.
Clear the misconception first
Many hear GEO and think “just build a site and publish a few articles.”
Generic site + spammy posts
- Brochure site and brand story first
- Random blogs / soft posts, keyword stuffing
- “We posted it” as verbal success
- Little care for AI retrieval or dead links
The Sourced pipeline
- Fact-driven entity / FAQ / disambiguation pages with quotable openings
- Machine-readable structure: schema, sitemap, llms.txt, sameAs to authority
- Authority matrix: packs + URL backfill + “opens and still names you”
- Probes only verify; reports ban mock data in production KPIs
So it looks like site+posts — the difference is why we do it and how we accept work. Without authority and real facts, a pretty site alone rarely moves mention odds.
The full flow at a glance
The full flow at a glance
A repeatable factory from facts to evidence — not a one-off consulting deck.
Facts in
Sheet or plain brief: who you are, how customers ask, real claims
Quotable content
Answer capsules with numbers; thin copy fails gates
Public knowledge site
Live https pages machines can read — not a local folder
Authority packs
Encyclopedia / media / community drafts; humans submit
True indexing check
Page opens + still contains the entity name
Probe sample
Ask AI how it answers today — verification, not the main dish
Evidence pack
Pipeline lights, gaps, provenance the owner can open
Probes only show today’s sample answers. Authority and quotable materials move the odds.
Three pillars beat endless prompting
Three pillars beat endless prompting
Leverage order: third-party authority > quotable owned pages > indexing checks > probes.
Structured knowledge site
Public pages that state who you are and who you are not — with structure and llms.txt for people and machines.
Indexing & consistency
Recheck that sites and authority URLs still open and still name you — earlier signal than mention rate alone.
Where we are stronger than typical vendors
Where we are stronger than typical vendors
We do not promise more mentions tomorrow. We build an auditable factory and block fake progress — which usually raises long-run odds.
TopicTypical vendorSourcedWhy it matters
Optimization leverPrompt AI all day and screenshot “not mentioned”Probes only sample; main work is authority + quotable materialsTime spent where retrieval can actually change
“Submitted”Green checkbox = successURL must live and still contain the entityEngines can actually read your materials
Content qualityKeyword stuffing, random blogsFact library + answer capsules + density gatesMore likely to be cited, less likely ignored
Owned siteGeneric SEO articlesSchema / FAQ / llms.txt / sameAs to authorityCloser to how generative engines ingest pages
ReportingHalf-day “mention spike” with mock dataNo mock in production KPIs; flag thin samplesTrends you can trust
Encyclopedia / communityClaim unattended auto-postingGraded outbound; critical channels need humansCompliant and accountable — no fake automation
AcceptanceOne screenshotPipeline / citation / mention layers; contracts lock pipeline deliverablesClear purchase, fewer disputes
Honest acceptance layers
Honest acceptance layers
Remember: pipeline ready ≠ AI must mention you. Mentions are probabilistic; the pipeline is deterministic.
① Pipeline health (stage success)
Public site, push logs, true authority indexing, content gates — checkable and contractable.
② Citation hits (bonus)
Whether answers point at your domain — nice to have, not sole success.
③ Mention rate (observation)
Probe trends with platform noise; never the only close criterion, never a guaranteed %.
Ready? Open the workbench or ask us to run it
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